Zobrazeno 1 - 2
of 2
pro vyhledávání: '"C. J. Barberan"'
Autor:
Nicolae Sapoval, Amirali Aghazadeh, Michael G. Nute, Dinler A. Antunes, Advait Balaji, Richard Baraniuk, C. J. Barberan, Ruth Dannenfelser, Chen Dun, Mohammadamin Edrisi, R. A. Leo Elworth, Bryce Kille, Anastasios Kyrillidis, Luay Nakhleh, Cameron R. Wolfe, Zhi Yan, Vicky Yao, Todd J. Treangen
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Deep learning has enabled advances in understanding biology. In this review, the authors outline advances, and limitations of deep learning in five broad areas and the future challenges for the biosciences.
Externí odkaz:
https://doaj.org/article/14e0a06b00c7444c9c738a631681c526
Autor:
C. J. Barberan, Gaurav Gupta, Qi Wang, Benjamin Coleman, Pavan K. Kota, R. A. Leo Elworth, Richard G. Baraniuk, Anshumali Shrivastava, Todd J. Treangen, Advait Balaji
Publikováno v:
Nucleic Acids Research
As computational biologists continue to be inundated by ever increasing amounts of metagenomic data, the need for data analysis approaches that keep up with the pace of sequence archives has remained a challenge. In recent years, the accelerated pace
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b71d700c9edce9b9b0aa12dcd8d11da
http://europepmc.org/articles/PMC7261164
http://europepmc.org/articles/PMC7261164